nuget
@author Will_and_Sara
ContinuousDistribution
01 Syntax
Microsoft.VisualBasic.Math.Statistics.Distributions.ContinuousDistribution
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| GetInvCDF | 2 | This function produces a value for a given probability, this value will represent the Non-Exceedance value for that probability. |
| GetCDF | 2 | This function is the Cumulative Distribution Function. |
| GetPDF | 2 | This is the Probability Density Function. |
| GetParamNames | 1 | This function will return string representations of the parameter names for each distribution. |
| GetParamValues | 1 | This function determines the current values for each parameter in this concrete implementation of the ContinuousDistribution |
| Clone | 1 | Creates a clone of the current ContinuousDistribution. |
03 Properties
| Name | Overloads | Summary |
|---|---|---|
| PeriodOfRecord | 1 |
04 Members
GetInvCDF(
Double)This function produces a value for a given probability, this value will represent the Non-Exceedance value for that probability.
Parameters
| Name | Type | Description |
|---|---|---|
probability | Double | a number between 0 and 1. |
Returns
a value distributed by the distribution defined in the concrete implementation of this abstract class.
GetInvCDF(
Vector)This function produces a value for a given probability, this value will represent the Non-Exceedance value for that probability.
Parameters
| Name | Type | Description |
|---|---|---|
probability | Vector | a number between 0 and 1. |
Returns
a value distributed by the distribution defined in the concrete implementation of this abstract class.
GetCDF(
Double)This function is the Cumulative Distribution Function. It returns a Non Exceedance probability for any value. It will be implemented by all concrete implementations of this abstract class.
Parameters
| Name | Type | Description |
|---|---|---|
value | Double | the value that a probability will be produced for. |
Returns
a probability that this value will be exceeded by any other value from the sample set.
GetCDF(
Vector)This function is the Cumulative Distribution Function. It returns a Non Exceedance probability for any value. It will be implemented by all concrete implementations of this abstract class.
Parameters
| Name | Type | Description |
|---|---|---|
value | Vector | the value that a probability will be produced for. |
Returns
a probability that this value will be exceeded by any other value from the sample set.
GetPDF(
Double)This is the Probability Density Function. It describes the likelihood any given value will occur within a dataset.
Parameters
| Name | Type | Description |
|---|---|---|
value | Double | the value that a likelihood will be returned for. |
Returns
the likelihood (defined by the concrete distribution) the specified value will occur in any given sample dataset (assuming the value is from the underlying distribution).
GetPDF(
Vector)This is the Probability Density Function. It describes the likelihood any given value will occur within a dataset.
Parameters
| Name | Type | Description |
|---|---|---|
value | Vector | the value that a likelihood will be returned for. |
Returns
the likelihood (defined by the concrete distribution) the specified value will occur in any given sample dataset (assuming the value is from the underlying distribution).
GetParamNames
This function will return string representations of the parameter names for each distribution.
Returns
a String array of all of the declared fields composing the concrete implementation of this ContinuousDistribution
GetParamValues
This function determines the current values for each parameter in this concrete implementation of the ContinuousDistribution
Returns
an array of object for each parameter in this class.
Clone
Creates a clone of the current ContinuousDistribution.
Returns
A ContinuousDistribution of the same type as the one this function is called on.
PeriodOfRecord